Training course · Prompt Engineering · Public Sector

Prompt Engineering for the Public Sector

Vendor-neutral prompt engineering: roles, context, few-shot examples, prompt chains, prompt libraries and systematic quality checks.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Prompt Engineering for the Public Sector” is a hands-on course for roles such as Caseworkers in federal, regional and local government, Managers of departments and public agencies and Digital transformation and e-government leads. Rather than learning Prompt Engineering in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Public Sector.

Whether you use ChatGPT, Claude, Copilot, Gemini or Le Chat, the quality of the output depends largely on how the task is framed. Prompt engineering is the skill of conveying goal, context, constraints and desired format to a language model so that it reliably produces usable results. In this vendor-neutral practical day you learn proven techniques that work across all mainstream AI assistants: defining roles and audiences, selecting relevant context, working with examples and breaking complex tasks down into traceable steps. You try out every technique directly on tasks from your own working day.

The second part focuses on repeatability and quality across the team. You develop prompt templates with placeholders, build multi-step prompt chains for analysis, writing and review processes, and set up a shared prompt library. You learn to evaluate output systematically – with review criteria, test cases and targeted self-checks by the model – and to avoid typical pitfalls such as hallucinations, ambiguity and missing context. By the end you have a structured approach that works regardless of the tool you use and continues to pay off as new models arrive.

Public authorities and local councils face a double squeeze: the digitalisation of public services is accelerating while skilled staff are scarce and caseloads keep rising. Generative AI can noticeably relieve caseworkers – drafting decisions and replies to citizens, summarising submissions in public consultations, turning official language into plain language and preparing committee and council papers. AI assistants also help staff navigate legislation and administrative guidelines more quickly. At the same time, the public sector faces particularly high standards for lawfulness, transparency, data protection and IT security. Introducing AI means building approval rules, record-keeping duties and final human decision-making into the process from day one.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Caseworkers in federal, regional and local government
  • Managers of departments and public agencies
  • Digital transformation and e-government leads
  • Staff in citizen service centres and contact centres
  • Committee and council secretariat staff

Typical challenges we address

  • Rising caseloads combined with staff shortages
  • Complex legislation and administrative rules that change frequently
  • Citizen communication that must be legally sound yet easy to understand
  • Media breaks between specialist systems, electronic files and paper records

What you will be able to do

  • You understand how language models process prompts and derive effective wording from this.
  • You structure prompts with role, context, task, constraints and output format.
  • You use few-shot examples and prompt chains for complex, multi-step tasks.
  • You create reusable templates and build a shared prompt library.
  • Use AI lawfully for drafting, citizen communication and summaries.
  • Understand the limits of AI in discretionary decisions and design review and approval steps.
  • Identify processes in your department that are suitable for AI support and automation.

Course outline

Module 1 How language models process prompts
  • Core principles of language models: probabilities, context window, limitations
  • Why wording, order and examples change the result
  • What causes hallucinations and how prompts reduce them
  • Differences and common ground between mainstream AI assistants
Module 2 Building blocks of an effective prompt
  • Defining role, audience, task, context and output format
  • Stating constraints, exclusions and quality criteria
  • Structured input with sections, delimiters and tags
  • Asking the model to raise questions instead of making assumptions
Module 3 Advanced techniques
  • Zero-shot, one-shot and few-shot: setting style and structure with examples
  • Requesting step-by-step reasoning for complex tasks
  • Prompt chains: separating research, drafting, review and revision
  • Using change of perspective, counter-arguments and model self-critique
Module 4 Templates and prompt libraries
  • Creating reusable templates with placeholders and variables
  • Storing persistent instructions in projects, custom assistants and agents
  • Building, naming, maintaining and sharing a team prompt library
  • Documenting templates: purpose, inputs, expected output, owner
Module 5 Quality assurance and responsible use
  • Defining review criteria and scoring rubrics for AI output
  • Setting up test cases and systematically comparing and improving prompts
  • Verifying facts, figures and sources; establishing the four-eyes principle
  • Data protection, confidential content and transparency under GDPR and the EU AI Act
Module 6 Practice lab: Public Sector
  • Drafting decisions and letters
  • Answering citizen enquiries
  • Plain language and translation
  • Analysing public consultations
  • Committee papers and minutes
  • Preparing procurement documents
Module 7 Data protection, quality & transfer to daily work
  • Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting decisions and letters

Using standard clauses, the facts of the case and the relevant legal provision, AI drafts hearing letters, statements of reasons or requests for documents, which caseworkers review, adapt and sign off under their own responsibility.

Answering citizen enquiries

An AI assistant drafts replies to frequent enquiries by email or web form, points to the responsible office and online services and keeps a friendly, accessible tone.

Plain language and translation

Leaflets, form guidance and web content are rewritten in plain or easy-read language and translated into common languages, improving accessibility of public services. Technical terms are explained as well.

Analysing public consultations

Large numbers of submissions from citizens and statutory consultees are grouped by topic, summarised and transferred into a response table that serves as the basis for professional assessment.

Committee papers and minutes

AI helps structure decision papers, condenses expert reports into status updates and turns notes into structured minutes for committees and council meetings. Proposed resolutions are kept clearly separate from the facts.

Preparing procurement documents

Specifications, selection criteria and award matrices are pre-structured from requirement descriptions and checked for completeness; legal responsibility under procurement law remains with the contracting authority.

Prerequisites

Some initial experience with at least one AI assistant such as ChatGPT, Claude, Copilot or Gemini is helpful; no technical background is required. Experience with administrative procedures and casework; no technical background required.

Technical requirements

A laptop with an up-to-date browser and access to at least one AI assistant, ideally the tool approved within your organisation.

Data protection & compliance

Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Fri, 27 November 2026 Online Request
  • Fri, 4 December 2026 Hanover Request
  • Thu, 17 December 2026 Online Request
  • Fri, 8 January 2027 Online Request
  • Mon, 18 January 2027 Munich Request
  • Mon, 1 February 2027 Online Request

Frequently asked questions

Do these techniques work with every AI assistant?

Yes, the course is deliberately vendor-neutral. The principles – a clear task, relevant context, examples, structured output and review steps – work equally well in ChatGPT, Claude, Copilot, Gemini, Le Chat and other tools. Where assistants differ in detail, for example with projects or custom assistants, we show the corresponding features in each.

Won't better models soon make prompt engineering obsolete?

Models are getting better at interpreting vague requests, but they still cannot know what you do not tell them: audience, quality standards, internal requirements or relevant background. Good prompts are therefore mainly good task descriptions. Templates, prompt chains and quality checks also keep their value for teams as new models arrive.

What is a prompt library and how do we maintain it as a team?

A prompt library is an organised collection of proven templates for recurring tasks, each with its purpose, required inputs, a sample result and an owner. It can live in a shared document, a wiki or directly in the AI tool's projects. In the course you set up a first library and agree simple rules for maintenance and approval.

May a public authority produce decisions with AI?

AI may prepare drafts, but the decision and signature remain with the responsible officer. Fully automated administrative acts are only permitted with an explicit legal basis and no discretion involved. The course shows how to review AI drafts in a documented way to ensure lawfulness and traceability.

Which AI tools are suitable for public administration?

Suitable tools are those your organisation has cleared for data protection and security, such as AI assistants provided centrally by government IT or enterprise editions with EU data processing. The course is tool-neutral and teaches working methods that transfer to whichever tools are approved in your authority.

How much does “Prompt Engineering for the Public Sector” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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